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Vivek Desai, Chief Technology Officer, North America at RLDatix – Interview Series

Unite.AI

This concept of connected healthcare operations is a category we’re focused on at RLDatix as it unlocks actionable data and insights for healthcare decision makers – and AI is integral to making that a reality. For example, what if we looked at every soccer schedule within the area?

LLM 147
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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning Blog

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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SimVP: Simpler yet Better Video Prediction

Mlearning.ai

A way of forecasting the future is using video data, exactly like we humans, whenever we can speculate a goal in soccer in a few seconds, or even less, beforehand and then there’s an unbelievable and bright excitement in our eyes, etc. The paper has mentioned developed architectures in these four categories with their limitations.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

It is already trained on tens of millions of images across many categories. Instead of thousands of images, you can upload a small set of training images (typically a few hundred images or less per category) that are specific to your use case. Outside of work, he loves spending time with his family, hiking, and playing soccer.

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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning Blog

This extensive dataset covers a wide range of objects and categories, providing SAM with a diverse and large-scale training data source. Grounding DINO is a zero-shot object detection model that can perform object detection with text providing category names (such as “traffic lights” or “truck”) and expressions (such as “yellow truck”).

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Text Classification

Probably Approximately a Scientific Blog

Some words may be indicative of one topic or another, e.g. soccer, player, and match might indicate that a document is about sports, while government , prime minister, and war suggest that this is a news article. The simplest and most common approach is the "bag-of-words" approach, in which each document is represented by all its words.

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Zero-shot text classification with Amazon SageMaker JumpStart

AWS Machine Learning Blog

A soccer game with multiple males playing. The input data includes text strings, a list of desired categories for classification, and whether the classification is multi-label or not for synchronous (real-time) inference. Premise Label Hypothesis A man inspects the uniform of a figure in some East Asian country.